DBMS > ClickHouse vs. MonetDB vs. SAP IQ

System Properties Comparison ClickHouse vs. MonetDB vs. SAP IQ

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Editorial information provided by DB-Engines

Name

Description

A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.

A relational database management system that stores data in columns

Columnar RDBMS optimized for Big Data analytics

Primary database model

Relational DBMS

column-oriented

Secondary database models

Time Series DBMS

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	18.77
Rank	#31	Overall
	#19	Relational DBMS

Score	1.58
Rank	#139	Overall
	#62	Relational DBMS

Score	2.35
Rank	#103	Overall
	#52	Relational DBMS

Website

clickhouse.com

www.monetdb.org

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

Technical documentation

clickhouse.com/docs

www.monetdb.org/Documentation

help.sap.com/docs/SAP_IQ

Developer

Clickhouse Inc.

MonetDB BV

SAP, formerly Sybase

Initial release

2016

2004

1994

Current release

v24.6.2.17-stable, July 2024

Dec2023 (11.49), December 2023

16.1 SPS04, April 2019

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Mozilla Public License 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

FreeBSD
Linux
macOS

FreeBSD
Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

Close to ANSI SQL (SQL/JSON + extensions)

yes

SQL 2003 with some extensions

yes

APIs and other access methods

gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Rust
Scala

3rd party library

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

yes, in SQL, C, R

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

key based and custom

Sharding via remote tables

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.

none

Source-replica replication available in experimental status

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

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Recent citations in the news

Securing Cloud Databases: Best Practices with ClickHouse and Wiz
18 March 2025, wiz.io

Snowflake Challenger ClickHouse Targets $6 Billion Valuation
9 May 2025, The Information

DeepSeek Exposed Database Leaks Sensitive Data
30 January 2025, Infosecurity Magazine

ClickHouse Acquires HyperDX to Accelerate the Future of Observability
13 March 2025, Business Wire

A Beginner’s Guide to ClickHouse Database
13 September 2024, KDnuggets

provided by Google News

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I
6 April 2018, Data Science Central

Using MonetDB for High-Performance Applications
27 April 2018, Open Source For You

Figure 1: MonetDB: a BAT Algebra Machine
7 September 2018, ResearchGate

Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

In Memoriam Martin Kersten
12 July 2022, Centrum Wiskunde & Informatica (CWI)

provided by Google News

SAP Products & Services Data Portfolio
2 July 2021, datamation.com

Independent Research Firm Names SAP a Leader in Data Management for Analytics
17 February 2020, SAP News Center

Database Management System Market Projected to Reach USD
5 May 2025, GlobeNewswire

SAP data and analytics: in with the new, don't squander the old
22 July 2019, ZDNET

Google Cloud adds backup vaults and centralized management
10 September 2024, Blocks and Files

provided by Google News

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